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Record Nr. |
UNINA9910864193903321 |
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Autore |
Zhang Hui |
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Titolo |
Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023) |
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Pubbl/distr/stampa |
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Singapore : , : Springer, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (183 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies Series ; ; v.209 |
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Altri autori (Persone) |
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LamesMartin |
BacaArnold |
WuYingcai |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Invited Lectures -- Machine Learning in Performance Analysis - Kings' Roads and Blind Alleys -- Unleashing the Power of Technology: Revolutionizing Sports Coaching and Teaching -- Innovative Approaches to the Use of Practical Sports Analysis Tools in Education and AI Research -- Processing and analyzing sports videos with interactive visualizations -- 5 Big Questions for Technology and AI in High Performance Sport -- Contents -- Machine Learning Based Automatic Effective Round Segmentation Method for Table Tennis -- 1 Introduction -- 2 Related Works -- 3 The Process and Detail Design of the Proposed Method -- 3.1 Major Components and Overall Process of the Proposed Method -- 3.2 Design of Action Recognition Module -- 3.3 Design of Key Frame Discrimination Module -- 3.4 Design of Automatic Segmentation Module -- 4 Experimental Evaluation -- 4.1 Datasets -- 4.2 Evaluation and Results -- 5 Conclusion -- References -- Automatic Formation Recognition in Handball Using Template Matching -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- A Finite Element Model to Predict Shear Deformation in Running Shoe Midsoles During the Foot Strike -- 1 Introduction -- 2 Methods -- 2.1 FE Model -- 3 Results -- 4 Discussion -- 5 Conclusion -- |
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